This project is assessing the capacities needed by elementary teachers for productive use of mathematics curriculum materials. The project is guided by the assumption that well-designed curriculum programs have the potential to contribute to improvement in mathematics learning opportunities in K-12 classrooms. Yet, minimal research has examined the kind of knowledge and capacities necessary for teachers to use these resources productively. The project will undertake such research and develop tools to assess these capacities.

This project is assessing the capacities needed by elementary teachers for productive use of mathematics curriculum materials. The project is guided by the assumption that well-designed curriculum programs have the potential to contribute to improvement in mathematics learning opportunities in K-12 classrooms. Yet, minimal research has examined the kind of knowledge and capacities necessary for teachers to use these resources productively. The project will undertake such research and develop tools to assess these capacities.

This project seeks to advance knowledge in K-12 STEM education and assessment practices by building capacity for Assessment for Learning, improving assessments and teacher preparation courses, and providing models for pre-service teacher preparation through enhanced teaching modules. Three goals are: (1) faculty from three centers form a learning community, (2) recruit 5 STEM research scholars to conduct research on measurement and evaluation, and (3) expose pre-service teachers to assessment models in their coursework.

This project will develop a mathematics course for the fourth year of high school. The new course is being designed for students who will enter post-secondary education and will major in programs not requiring Calculus. The new course includes mathematics from a problem-solving or applications perspective, and serves as a bridge to college mathematics and statistics. Unit topics include functions, modeling, algebraic strategies, binomial distributions, and information processing.

This project is funded by the National Science Foundation, grant # 0822241, 1449550, 1650648, 1743807, and 1813076. Any opinions, findings, and conclusions or recommendations expressed in these materials are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.